{"id":"W3084361170","doi":"10.32393/csme.2020.1151","title":"Stability of Energy Stable Flux Reconstruction on Generalized Three-dimensional Curvilinear Grids for Linear Advection","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Curvilinear coordinates; Advection; Flux (metallurgy); Stability (learning theory); Computer science; Mechanics; Applied mathematics; Mathematics; Geometry; Physics; Materials science; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008367112,0.0004532231,0.0003283986,0.0004773283,0.0003688528,0.0008721278,0.0004353494,0.0005682676,0.001058793],"category_scores_gemma":[0.003087885,0.0002024124,0.000533573,0.0001890269,0.001448253,0.0007040959,0.001684486,0.0007687808,0.0001840748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005593046,"about_ca_system_score_gemma":0.0005800046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003445685,"about_ca_topic_score_gemma":0.001246087,"domain_scores_codex":[0.9997148,0.0001032529,0.0000171997,0.00004435589,0.00008992675,0.00003048742],"domain_scores_gemma":[0.9991013,0.0004435814,0.0001192381,0.0000854613,0.0002047057,0.00004580268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003195891,0.00004623177,0.004372748,0.0001457787,0.00004440392,0.0002689167,0.000541447,0.621049,0.03796784,0.3032383,0.001079748,0.03092594],"study_design_scores_gemma":[0.000006521696,0.00001805356,0.0002050185,0.000008311218,0.000001918877,0.00002409713,0.0000303797,0.9811674,0.002217178,0.0158048,0.0005090556,0.000007226919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1888368,0.0002765324,0.8049461,0.0004860175,0.00005115484,0.00004721831,0.00006965097,0.0001817974,0.005104721],"genre_scores_gemma":[0.9314123,0.0002406841,0.06237497,0.0001098825,0.00002284571,0.00008106941,0.0001096785,0.0001039699,0.005544552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003445685,"threshold_uncertainty_score":0.006851256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111963535326971,"score_gpt":0.2064450905838799,"score_spread":0.1953254552306102,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}